A. confidence.
B. support.
C. support count.
D. None of the above.
ANSWER: A
The value that says that transactions in D that support X also support Y is called Read More »
A. confidence.
B. support.
C. support count.
D. None of the above.
ANSWER: C
The absolute number of transactions supporting X in T is called Read More »
A. confidence.
B. support.
C. support count.
D. All of the above.
ANSWER: B
The proportion of transaction supporting X in T is called Read More »
A. inventory management.
B. sales promotion strategies.
C. marketing strategies.
D. All of the above.
ANSWER: D
Data mining helps in Read More »
A. Agrawal et al.
B. Steve et al.
C. Toda et al.
D. Simon et al.
ANSWER: A
Market-basket problem was formulated by Read More »
A. Sampling.
B. Parallelization
C. Both A & B.
D. None of the above.
ANSWER: C
are effective tools to attack the scalability problem. Read More »
A. missing data.
B. changing data.
C. irrelevant data.
D. noisy data.
ANSWER: C
Data that are not of interest to the data mining task is called as Read More »
A. dimensionality curse.
B. dimensionality reduction.
C. cleaning.
D. Overfitting.
ANSWER: B
Reducing the number of attributes to solve the high dimensionality problem is called as Read More »
A. Space complexity.
B. Time complexity.
C. ROI.
D. All of the above.
ANSWER: D
Which of the following is not a data mining metric. Read More »
A. Standard Query Language.
B. Structured Query Language.
C. Standard Quick List.
D. Structured Query list.
ANSWER: B
